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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

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Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

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The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

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Sun elevation from:

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File format (GeoTiff, NetCDF):

Dataset UUID:

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Label:

Latitude range from:

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Longitude range from:

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Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

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Acquisition time range From

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28 results

Time (local)	Label
2013-08-15 18:30:56	wofs_ls_180065_2013-08-15.stac-item
2013-08-20 15:34:32	wofs_ls_151072_2013-08-20.stac-item
2014-09-19 15:14:29	wofs_ls_148073_2014-09-19.stac-item
2015-04-04 17:09:34	wofs_ls_167069_2015-04-04.stac-item
2015-04-18 17:13:57	wofs_ls_169049_2015-04-18.stac-item
2015-05-15 20:07:14	wofs_ls_198035_2015-05-15.stac-item
2016-01-11 17:47:44	wofs_ls_173070_2016-01-11.stac-item
2016-08-03 18:49:18	wofs_ls_184054_2016-08-03.stac-item
2017-03-23 18:09:50	wofs_ls_176080_2017-03-23.stac-item
2017-05-10 18:00:24	wofs_ls_176057_2017-05-10.stac-item
2017-10-05 17:34:10	wofs_ls_172051_2017-10-05.stac-item
2018-05-09 18:28:01	wofs_ls_180065_2018-05-09.stac-item
2019-03-07 18:36:33	wofs_ls_182054_2019-03-07.stac-item
2019-11-12 17:43:03	wofs_ls_172073_2019-11-12.stac-item
2020-01-04 16:22:57	wofs_ls_159074_2020-01-04.stac-item
2021-05-15 18:29:20	wofs_ls_182036_2021-05-15.stac-item
2021-12-15 18:04:57	wofs_ls_176066_2021-12-15.stac-item
2022-02-28 20:10:27	wofs_ls_197056_2022-02-28.stac-item
2022-02-28 20:10:27	wofs_ls_197056_2022-02-28.stac-item
2022-07-01 19:46:34	wofs_ls_194043_2022-07-01.stac-item
2022-09-25 20:50:02	wofs_ls_204046_2022-09-25.stac-item
2022-11-02 17:06:25	wofs_ls_166074_2022-11-02.stac-item
2022-12-05 18:36:52	wofs_ls_181068_2022-12-05.stac-item
2023-01-31 19:14:51	wofs_ls_188055_2023-01-31.stac-item
2023-06-11 18:52:30	wofs_ls_185048_2023-06-11.stac-item
2024-02-02 19:12:41	wofs_ls_189035_2024-02-02.stac-item
2024-03-04 20:08:09	wofs_ls_198035_2024-03-04.stac-item
2024-04-21 18:39:10	wofs_ls_182061_2024-04-21.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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